Data Science - Senior Analyst

Responsibilities

• As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes
• Analyze complex data using statistical and machine learning models to derive actionable insights
• Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services
• Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions
• Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives
• Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
• Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding
• Ensure model robustness, model generalization, accuracy, testability, and efficiency
• Write product or system development code
• Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability.
• Communicate findings and insights effectively to stakeholders reports and visualizations.

Qualifications